dennis kinyua

I am a results-driven AI researcher with a strong grounding in machine learning, deep learning, and applied artificial intelligence. I have designed, trained, and evaluated data-driven models for real-world applications with emphasis on NLP, computer vision, and responsible AI.

In my recent role as an AI Research Associate I designed and trained models for text and audio, conducted experiments to improve accuracy and robustness, and implemented bias-mitigation strategies. I have contributed to multilingual dataset annotation, validation, and auditing to meet ethical AI standards.

I previously contributed high-quality datasets for NLP and speech research, performing data cleaning, preprocessing, and exploratory analysis while evaluating outputs for accuracy, cultural relevance, and fairness. My academic background includes an MSc in Artificial Intelligence from the University of Manchester with a dissertation on transformer-based models for low-resource languages.

I publish and write on data quality and ethics in AI, and hold certifications in deep learning, machine learning, and responsible AI. I collaborate effectively in multidisciplinary and remote teams and translate research findings into deployable solutions.